Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques

Martina Rauner, Ines Foessl, Melissa M Formosa, Erika Kague, Vid Prijatelj, Nerea Alonso Lopez, Bodhisattwa Banerjee, Dylan Bergen, Björn Busse, Ângelo Calado, Eleni Douni, Yankel Gabet, Natalia García Giralt, Daniel Grinberg, Nika M Lovsin, Xavier Nogues Solan, Barbara Ostanek, Nathan J Pavlos, Fernando Rivadeneira, Ivan SoldatovicJeroen van de Peppel, Bram van der Eerden, Wim van Hul, Susanna Balcells, Janja Marc, Sjur Reppe, Kent Søe, David Karasik

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Abstract

The availability of large human datasets for genome-wide association studies (GWAS) and the advancement of sequencing technologies have boosted the identification of genetic variants in complex and rare diseases in the skeletal field. Yet, interpreting results from human association studies remains a challenge. To bridge the gap between genetic association and causality, a systematic functional investigation is necessary. Multiple unknowns exist for putative causal genes, including cellular localization of the molecular function. Intermediate traits ("endophenotypes"), e.g. molecular quantitative trait loci (molQTLs), are needed to identify mechanisms of underlying associations. Furthermore, index variants often reside in non-coding regions of the genome, therefore challenging for interpretation. Knowledge of non-coding variance (e.g. ncRNAs), repetitive sequences, and regulatory interactions between enhancers and their target genes is central for understanding causal genes in skeletal conditions. Animal models with deep skeletal phenotyping and cell culture models have already facilitated fine mapping of some association signals, elucidated gene mechanisms, and revealed disease-relevant biology. However, to accelerate research towards bridging the current gap between association and causality in skeletal diseases, alternative in vivo platforms need to be used and developed in parallel with the current -omics and traditional in vivo resources. Therefore, we argue that as a field we need to establish resource-sharing standards to collectively address complex research questions. These standards will promote data integration from various -omics technologies and functional dissection of human complex traits. In this mission statement, we review the current available resources and as a group propose a consensus to facilitate resource sharing using existing and future resources. Such coordination efforts will maximize the acquisition of knowledge from different approaches and thus reduce redundancy and duplication of resources. These measures will help to understand the pathogenesis of osteoporosis and other skeletal diseases towards defining new and more efficient therapeutic targets.

Original languageEnglish
Article number731217
Pages (from-to)731217
JournalFrontiers in Endocrinology
Volume12
Early online date30 Nov 2021
DOIs
Publication statusPublished - 30 Nov 2021

Bibliographical note

Funding Information:
This publication is based upon work from COST Action GEMSTONE, supported by COST (European Cooperation in Science and Technology). COST is a funding agency for research and innovation networks.

Publisher Copyright:
Copyright © 2021 Rauner, Foessl, Formosa, Kague, Prijatelj, Lopez, Banerjee, Bergen, Busse, Calado, Douni, Gabet, Giralt, Grinberg, Lovsin, Solan, Ostanek, Pavlos, Rivadeneira, Soldatovic, van de Peppel, van der Eerden, van Hul, Balcells, Marc, Reppe, Søe and Karasik.

Keywords

  • Bone
  • genome-wide association study
  • musculoskeletal disorders
  • Gene regulation
  • Animal models
  • data integration analysis

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